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docker-compose.yml
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docker-compose.yml
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version: "3.6"
services:
namenode:
image: bde2020/hadoop-namenode:2.0.0-hadoop3.2.1-java8
container_name: namenode
restart: always
deploy:
replicas: 1
ports:
- 9870:9870
volumes:
- hadoop_namenode:/hadoop/dfs/name
environment:
- CLUSTER_NAME=test
env_file:
- ./hadoop.env
datanode:
image: bde2020/hadoop-datanode:2.0.0-hadoop3.2.1-java8
# container_name: datanode
restart: always
deploy:
replicas: 1
volumes:
- hadoop_datanode:/hadoop/dfs/data
environment:
SERVICE_PRECONDITION: "namenode:9870"
env_file:
- ./hadoop.env
zookeeper:
image: wurstmeister/zookeeper
container_name: zookeeper
expose:
- "2181"
ports:
- 2181:2181
datanode1:
image: bde2020/hadoop-datanode:2.0.0-hadoop3.2.1-java8
# container_name: datanode
restart: always
deploy:
replicas: 1
environment:
SERVICE_PRECONDITION: "namenode:9870"
env_file:
- ./hadoop.env
zookeeper:
image: wurstmeister/zookeeper
container_name: zookeeper
expose:
- "2181"
ports:
- 2181:2181
kafka:
image: wurstmeister/kafka
container_name: kafka
expose:
- "9092"
ports:
- 9092:9092
- 19092:19092
environment:
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_ADVERTISED_HOST_NAME: kafka
KAFKA_ADVERTISED_LISTENERS: INSIDE://:9092,OUTSIDE://localhost:19092
KAFKA_LISTENERS: INSIDE://:9092,OUTSIDE://0.0.0.0:19092
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: INSIDE:PLAINTEXT,OUTSIDE:PLAINTEXT
KAFKA_INTER_BROKER_LISTENER_NAME: INSIDE
JMX_PORT: 9999
kafka_manager:
image: hlebalbau/kafka-manager:1.3.3.18
container_name: kafka_manager
expose:
- "9000"
ports:
- 9000:9000
environment:
ZK_HOSTS: "zookeeper:2181"
APPLICATION_SECRET: "random-secret"
command: -Dpidfile.path=/dev/null
links:
- kafka
- zookeeper
depends_on:
- "zookeeper"
- "kafka"
# spark-master:
# build: ./spark/master
# container_name: spark-master
# ports:
# - "8080:8080"
# - "7077:7077"
# environment:
# - INIT_DAEMON_STEP=setup_spark
# - PYSPARK_PYTHON=/usr/bin/python3
# - PYSPARK_DRIVER_PYTHON=/usr/bin/python3
# spark-worker-1:
# build: ./spark/worker/
# container_name: spark-worker-1
# depends_on:
# - spark-master
# ports:
# - "8081:8081"
# environment:
# - "SPARK_MASTER=spark://spark-master:7077"
# - SPARK_WORKER_CORES=2
# - SPARK_WORKER_MEMORY=512m
# - PYSPARK_PYTHON=/usr/bin/python3
# - PYSPARK_DRIVER_PYTHON=/usr/bin/python3
# spark-worker-2:
# image: bde2020/spark-worker:3.0.1-hadoop3.2
# container_name: spark-worker-2
# depends_on:
# - spark-master
# ports:
# - "8081:8081"
# environment:
# - SPARK_MASTER=spark://spark-master:7077
# - SPARK_WORKER_CORES=2
# - SPARK_WORKER_MEMORY=512m
# - PYSPARK_PYTHON=/usr/bin/python3
# - PYSPARK_DRIVER_PYTHON=/usr/bin/python3
pyspark:
build: ./pyspark/
container_name: pyspark-notebook
ports:
- "8888:8888"
volumes:
- ./pyspark/:/home/jovyan/work/
healthcheck:
interval: 5s
retries: 100
env_file:
- ./hadoop.env
nodejs:
build: ./streaming
container_name: node-js
volumes:
- ./streaming:/usr/app/streaming
- ./streaming/node_modules:/usr/app/streaming/node_modules
# environment:
# TZ:
command: npm run dev
# networks:
# - app-network
depends_on:
- 'kafka'
spark-master:
build: ./spark/master
container_name: spark-master
ports:
- 8080:8080
- 7077:7077
volumes:
- shared-workspace:/opt/workspace
spark-worker-1:
build: ./spark/worker
container_name: spark-worker-1
environment:
- SPARK_WORKER_CORES=2
- SPARK_WORKER_MEMORY=1g
ports:
- 8081:8081
volumes:
- shared-workspace:/opt/workspace
depends_on:
- spark-master
spark-worker-2:
build: ./spark/worker
container_name: spark-worker-2
environment:
- SPARK_WORKER_CORES=2
- SPARK_WORKER_MEMORY=1g
ports:
- 8082:8081
volumes:
- shared-workspace:/opt/workspace
depends_on:
- spark-master
flask:
build: ./flask
ports:
- "5000:5000"
volumes:
hadoop_namenode:
hadoop_datanode:
shared-workspace:
name: "hadoop-distributed-file-system"
driver: local